The code examples below show how to run the Actor and get its results. To run the code, you need to have an Apify account. Replace <YOUR_API_TOKEN> in the code with your API token, which you can find under Settings > Integrations in Apify Console. Learn mode
from apify_client import ApifyClient
# Initialize the ApifyClient with your API token
client = ApifyClient("<YOUR_API_TOKEN>")
# Prepare the Actor input
run_input = {
"dashboardStatisticsFrequency": "Every day at noon",
"validationCheckOptions": """/* global ow */
// The `ow` variable represents the ow validation variable. More at https://sindresorhus.com/ow/index.html
[
{
filter: \"us\", // matches all targets with \"us\" pattern
minItemCount: 5000,
schema: {
url: ow.string.url,
description: ow.string,
},
},
{
Ids: [\"A1b2C3d4\", \"B1A2d45\"], // matches 2 targets with specific IDs
schema: {
itemId: ow.number,
region: ow.string,
},
},
]""",
"validationCheckFrequency": "Per run",
"duplicationCheckFrequency": "Per run",
}
# Run the Actor and wait for it to finish
run = client.actor("apify/monitoring").call(run_input=run_input)
# Fetch and print Actor results from the run's dataset (if there are any)
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item)
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- 138 users
- 1.3k runs
- Modified 4 months ago
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